Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "9" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 57 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 55 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459872 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.424912 | -2.072585 | -0.737505 | -0.037775 | 1.357881 | 0.020205 | -0.180310 | 0.083036 | 0.6897 | 0.6699 | 0.3986 | nan | nan |
| 2459871 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.016765 | -1.897502 | 0.314179 | 0.142640 | 0.172331 | -0.400532 | -0.181036 | 0.291593 | 0.6955 | 0.6686 | 0.3922 | nan | nan |
| 2459870 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.026263 | -1.915669 | 0.208972 | 0.337010 | 0.349767 | 0.031511 | 0.177707 | 0.659487 | 0.6962 | 0.6721 | 0.3921 | nan | nan |
| 2459869 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.558190 | -2.065583 | 0.559082 | 0.132503 | -0.026491 | -0.364238 | 1.339077 | 1.959007 | 0.7050 | 0.6923 | 0.3886 | nan | nan |
| 2459868 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.205267 | -1.685876 | 0.264140 | 0.066335 | -0.055765 | -1.064027 | 0.265437 | 1.354017 | 0.6866 | 0.6657 | 0.4047 | nan | nan |
| 2459867 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.396010 | -1.304322 | -0.389817 | 0.099893 | 0.599946 | -0.936637 | -0.147752 | -0.658142 | 0.6993 | 0.6705 | 0.4046 | nan | nan |
| 2459866 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.186066 | -1.053618 | -0.001921 | 0.424663 | 0.296683 | -0.525905 | -0.294888 | 0.022871 | 0.7006 | 0.6726 | 0.3969 | nan | nan |
| 2459865 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 1.119908 | -0.786549 | -0.877930 | 0.139326 | 1.735447 | -0.590388 | 1.490691 | 2.363273 | 0.7239 | 0.6966 | 0.3676 | nan | nan |
| 2459864 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.308818 | -2.108595 | 0.773929 | -0.711798 | -0.007862 | -0.672953 | 0.825506 | 2.096115 | 0.6921 | 0.6642 | 0.4156 | nan | nan |
| 2459863 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.030037 | -1.737944 | 0.398883 | 0.155666 | 1.510955 | 0.892913 | 0.195300 | -0.012491 | 0.6885 | 0.6564 | 0.4057 | nan | nan |
| 2459862 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.017429 | -1.647692 | 0.481636 | -1.008006 | 0.846600 | -0.411642 | -0.322729 | 0.621806 | 0.6699 | 0.6845 | 0.4214 | nan | nan |
| 2459861 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.223882 | -1.241123 | 0.530653 | 0.411299 | 0.710966 | 0.796711 | -0.163597 | 0.957430 | 0.6999 | 0.6696 | 0.4165 | nan | nan |
| 2459860 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.277224 | -1.487576 | 0.759742 | -0.825510 | 0.012136 | -0.486826 | -0.180586 | 1.134497 | 0.7043 | 0.6649 | 0.4170 | nan | nan |
| 2459859 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.249636 | -1.051401 | 0.680567 | 0.416823 | 0.797777 | 1.002875 | -0.297910 | 0.418549 | 0.7098 | 0.6713 | 0.4117 | nan | nan |
| 2459858 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.165465 | -1.009833 | 0.622063 | 0.298861 | 1.413835 | 1.593400 | -0.471108 | 1.103215 | 0.7207 | 0.6777 | 0.4258 | 1.673922 | 1.429337 |
| 2459857 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.917780 | -0.156348 | 0.470738 | 0.263437 | 0.254097 | -0.373407 | 0.642250 | 0.938116 | 0.0734 | 0.0395 | 0.0247 | nan | nan |
| 2459856 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.43% | 0.57% | 0.134310 | -1.665610 | 0.990061 | -0.773565 | 0.773206 | 0.496348 | -0.148082 | 1.872470 | 0.7112 | 0.6913 | 0.4114 | 1.541369 | 1.419800 |
| 2459855 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.58% | 0.00% | 0.396776 | -1.888112 | 0.614526 | -1.163385 | 1.118888 | 0.112072 | -0.677665 | 0.043524 | 0.6839 | 0.6993 | 0.4531 | 1.266084 | 1.185627 |
| 2459854 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 8.93% | 0.00% | 0.394268 | -1.764844 | 0.118260 | -0.774595 | 0.923697 | -0.127007 | -0.024534 | 1.014873 | 0.7157 | 0.7398 | 0.4449 | 1.417040 | 1.284246 |
| 2459853 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.238539 | -1.544723 | 0.167450 | -0.601354 | 0.682069 | -0.030102 | -0.257676 | 1.802794 | 0.7342 | 0.6816 | 0.4344 | 1.672847 | 1.465173 |
| 2459852 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 8.65% | 5.95% | 0.172978 | -0.931676 | -0.763864 | -0.260226 | 1.695697 | 0.437610 | 1.564463 | 1.802142 | 0.8196 | 0.8247 | 0.2561 | 2.813759 | 2.653279 |
| 2459851 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459850 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 18.02% | 0.00% | 0.069953 | -1.160602 | 0.059612 | -0.583732 | 1.235136 | 1.137995 | -0.029068 | 2.805595 | 0.7345 | 0.7431 | 0.3650 | 1.433622 | 1.386039 |
| 2459849 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 16.67% | 0.00% | 0.152333 | -1.428069 | 1.295542 | -0.029955 | 1.085553 | 0.673519 | -0.414739 | 0.492451 | 0.7317 | 0.7361 | 0.3722 | 1.410395 | 1.293481 |
| 2459848 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 30.15% | 0.00% | 0.053157 | -1.216584 | -0.975065 | 0.317796 | 1.889736 | 0.443716 | -0.465362 | 0.108566 | 0.7127 | 0.7397 | 0.3883 | 1.481551 | 1.363597 |
| 2459847 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.21% | 4.28% | -0.194549 | -1.354157 | -0.946480 | 0.472442 | 0.050141 | -1.246188 | -0.771749 | 0.000923 | 0.7201 | 0.6767 | 0.4411 | 1.799700 | 1.537430 |
| 2459846 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.365068 | -1.083154 | -0.817053 | 0.901398 | 4.387449 | 2.006464 | -0.292307 | -0.602943 | 0.8382 | 0.6796 | 0.4997 | 3.990922 | 3.610166 |
| 2459845 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 16.02% | 1.66% | 0.244440 | -0.964198 | -0.192191 | 1.446214 | 1.623490 | 0.304479 | -0.619100 | -0.770014 | 0.7377 | 0.7461 | 0.3807 | 1.271183 | 1.205605 |
| 2459844 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.499290 | 0.651266 | 0.021252 | 0.066194 | 0.121365 | -0.374436 | 0.479956 | 0.111246 | 0.0780 | 0.0453 | 0.0375 | nan | nan |
| 2459843 | digital_ok | 0.00% | 0.66% | 0.66% | 0.00% | 15.76% | 0.00% | -0.490712 | -1.453507 | -0.405526 | -0.672143 | -0.015057 | 0.015057 | -0.693945 | 0.468725 | 0.7395 | 0.7366 | 0.4026 | 1.489327 | 1.371113 |
| 2459839 | digital_ok | 100.00% | - | - | - | - | - | 14.587607 | 19.261010 | 92.859044 | 102.159693 | nan | nan | -29.231224 | -30.920487 | nan | nan | nan | nan | nan |
| 2459838 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.154612 | -1.448558 | -0.506303 | -0.492860 | 0.325262 | 1.363915 | -0.745786 | 0.111997 | 0.0815 | 0.0676 | 0.0120 | 0.958799 | 0.952300 |
| 2459836 | digital_ok | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0942 | 0.0614 | 0.0138 | nan | nan |
| 2459835 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -1.186336 | 0.194380 | -0.265817 | -0.229587 | 0.713995 | 0.282532 | -0.313215 | -0.950662 | 0.0955 | 0.0618 | 0.0150 | nan | nan |
| 2459833 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.692766 | -0.290634 | 0.169335 | -0.309199 | 0.936498 | -0.280491 | 0.458881 | 0.004112 | 0.0803 | 0.0647 | 0.0059 | nan | nan |
| 2459832 | digital_ok | 0.00% | 0.00% | 29.57% | 0.00% | 28.95% | 0.00% | -0.319487 | -1.875919 | -0.801178 | -0.369865 | -0.364162 | -0.562153 | -0.316461 | 2.177941 | 0.7539 | 0.4287 | 0.5869 | 1.843441 | 1.517776 |
| 2459831 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -1.158647 | -0.096655 | 0.133957 | 1.251410 | -0.266352 | 0.351718 | 0.577953 | 0.599503 | 0.0303 | 0.0348 | 0.0010 | nan | nan |
| 2459830 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.069006 | -1.692422 | -0.465056 | -0.357083 | -0.904683 | -0.503610 | -0.406561 | 0.680151 | 0.0739 | 0.0508 | 0.0050 | 1.245379 | 1.243651 |
| 2459829 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.311469 | -2.148696 | 0.360482 | -0.508341 | 1.090141 | 0.191111 | -0.286092 | 0.302423 | 0.0795 | 0.0637 | 0.0073 | 46.821467 | 33.017590 |
| 2459828 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.429017 | -0.878098 | 0.649131 | -0.772724 | -0.739264 | -0.530625 | -0.001930 | -0.271457 | 0.0704 | 0.0549 | 0.0048 | 19.170608 | 21.727650 |
| 2459827 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.397713 | -1.620250 | 0.044772 | 0.272894 | 0.180022 | -0.003568 | -0.915267 | -1.148985 | 0.0781 | 0.0616 | 0.0073 | 1.275039 | 1.272274 |
| 2459826 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459825 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.730668 | -0.916219 | 0.049182 | -0.642280 | 8.950117 | 9.012455 | 4.256283 | 4.057936 | 0.0701 | 0.0529 | 0.0048 | 1.182584 | 1.185370 |
| 2459824 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.313578 | -0.541585 | -0.249392 | -0.255378 | 11.703866 | 11.362590 | 20.766665 | 21.377315 | 0.0814 | 0.0640 | 0.0084 | 0.965512 | 0.966638 |
| 2459823 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.236776 | -0.826435 | -0.047485 | -0.127144 | 0.453349 | 0.789229 | 0.550656 | 2.292016 | 0.0723 | 0.0597 | 0.0094 | 0.885633 | 0.890110 |
| 2459822 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.392697 | -0.147220 | 0.587905 | -0.539438 | 6.263271 | 6.182956 | 4.309513 | 3.147102 | 0.0689 | 0.0557 | 0.0067 | 1.196612 | 1.193585 |
| 2459821 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.381889 | -0.133230 | 0.759731 | -0.345375 | 4.587730 | 4.962229 | 5.138116 | 4.740556 | 0.0835 | 0.0647 | 0.0072 | 1.188531 | 1.189037 |
| 2459820 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.352725 | -1.389512 | 0.454219 | -0.349295 | 0.870617 | 0.906217 | -0.378615 | 0.816541 | 0.7513 | 0.6508 | 0.4453 | 1.802078 | 1.551063 |
| 2459817 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 15.79% | -0.600443 | -1.111174 | 0.696886 | -0.683488 | 1.120555 | 0.367090 | 2.235992 | 2.176545 | 0.7912 | 0.6156 | 0.5290 | 2.117812 | 1.742210 |
| 2459816 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.250090 | -1.478167 | -0.265177 | -0.251458 | -0.487350 | -0.837695 | 0.006513 | -0.182026 | 0.8432 | 0.5735 | 0.6201 | 1.922994 | 1.583943 |
| 2459815 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 26.32% | -0.722878 | -1.534154 | -0.020255 | -0.487287 | 0.599682 | -0.045855 | -0.147221 | 0.349153 | 0.7817 | 0.6209 | 0.5378 | 2.561571 | 2.016228 |
| 2459814 | digital_ok | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459813 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | ee Temporal Variability | 1.357881 | -2.072585 | -0.424912 | -0.037775 | -0.737505 | 0.020205 | 1.357881 | 0.083036 | -0.180310 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | ee Power | 0.314179 | -1.897502 | -0.016765 | 0.142640 | 0.314179 | -0.400532 | 0.172331 | 0.291593 | -0.181036 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | nn Temporal Discontinuties | 0.659487 | -0.026263 | -1.915669 | 0.208972 | 0.337010 | 0.349767 | 0.031511 | 0.177707 | 0.659487 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | nn Temporal Discontinuties | 1.959007 | -0.558190 | -2.065583 | 0.559082 | 0.132503 | -0.026491 | -0.364238 | 1.339077 | 1.959007 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | nn Temporal Discontinuties | 1.354017 | 0.205267 | -1.685876 | 0.264140 | 0.066335 | -0.055765 | -1.064027 | 0.265437 | 1.354017 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | ee Temporal Variability | 0.599946 | 0.396010 | -1.304322 | -0.389817 | 0.099893 | 0.599946 | -0.936637 | -0.147752 | -0.658142 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | nn Power | 0.424663 | -1.053618 | 0.186066 | 0.424663 | -0.001921 | -0.525905 | 0.296683 | 0.022871 | -0.294888 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | nn Temporal Discontinuties | 2.363273 | 1.119908 | -0.786549 | -0.877930 | 0.139326 | 1.735447 | -0.590388 | 1.490691 | 2.363273 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | nn Temporal Discontinuties | 2.096115 | -2.108595 | 0.308818 | -0.711798 | 0.773929 | -0.672953 | -0.007862 | 2.096115 | 0.825506 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | ee Temporal Variability | 1.510955 | 0.030037 | -1.737944 | 0.398883 | 0.155666 | 1.510955 | 0.892913 | 0.195300 | -0.012491 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | ee Temporal Variability | 0.846600 | 0.017429 | -1.647692 | 0.481636 | -1.008006 | 0.846600 | -0.411642 | -0.322729 | 0.621806 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | nn Temporal Discontinuties | 0.957430 | -1.241123 | -0.223882 | 0.411299 | 0.530653 | 0.796711 | 0.710966 | 0.957430 | -0.163597 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | nn Temporal Discontinuties | 1.134497 | -0.277224 | -1.487576 | 0.759742 | -0.825510 | 0.012136 | -0.486826 | -0.180586 | 1.134497 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | nn Temporal Variability | 1.002875 | -0.249636 | -1.051401 | 0.680567 | 0.416823 | 0.797777 | 1.002875 | -0.297910 | 0.418549 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | nn Temporal Variability | 1.593400 | -1.009833 | -0.165465 | 0.298861 | 0.622063 | 1.593400 | 1.413835 | 1.103215 | -0.471108 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | nn Temporal Discontinuties | 0.938116 | -0.156348 | -0.917780 | 0.263437 | 0.470738 | -0.373407 | 0.254097 | 0.938116 | 0.642250 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | nn Temporal Discontinuties | 1.872470 | 0.134310 | -1.665610 | 0.990061 | -0.773565 | 0.773206 | 0.496348 | -0.148082 | 1.872470 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | ee Temporal Variability | 1.118888 | -1.888112 | 0.396776 | -1.163385 | 0.614526 | 0.112072 | 1.118888 | 0.043524 | -0.677665 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | nn Temporal Discontinuties | 1.014873 | -1.764844 | 0.394268 | -0.774595 | 0.118260 | -0.127007 | 0.923697 | 1.014873 | -0.024534 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | nn Temporal Discontinuties | 1.802794 | -1.544723 | -0.238539 | -0.601354 | 0.167450 | -0.030102 | 0.682069 | 1.802794 | -0.257676 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | nn Temporal Discontinuties | 1.802142 | 0.172978 | -0.931676 | -0.763864 | -0.260226 | 1.695697 | 0.437610 | 1.564463 | 1.802142 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | nn Temporal Discontinuties | 2.805595 | 0.069953 | -1.160602 | 0.059612 | -0.583732 | 1.235136 | 1.137995 | -0.029068 | 2.805595 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | ee Power | 1.295542 | 0.152333 | -1.428069 | 1.295542 | -0.029955 | 1.085553 | 0.673519 | -0.414739 | 0.492451 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | ee Temporal Variability | 1.889736 | -1.216584 | 0.053157 | 0.317796 | -0.975065 | 0.443716 | 1.889736 | 0.108566 | -0.465362 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | nn Power | 0.472442 | -1.354157 | -0.194549 | 0.472442 | -0.946480 | -1.246188 | 0.050141 | 0.000923 | -0.771749 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | ee Temporal Variability | 4.387449 | 1.365068 | -1.083154 | -0.817053 | 0.901398 | 4.387449 | 2.006464 | -0.292307 | -0.602943 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | ee Temporal Variability | 1.623490 | -0.964198 | 0.244440 | 1.446214 | -0.192191 | 0.304479 | 1.623490 | -0.770014 | -0.619100 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | nn Shape | 0.651266 | -0.499290 | 0.651266 | 0.021252 | 0.066194 | 0.121365 | -0.374436 | 0.479956 | 0.111246 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | nn Temporal Discontinuties | 0.468725 | -1.453507 | -0.490712 | -0.672143 | -0.405526 | 0.015057 | -0.015057 | 0.468725 | -0.693945 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | nn Power | 102.159693 | 19.261010 | 14.587607 | 102.159693 | 92.859044 | nan | nan | -30.920487 | -29.231224 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | nn Temporal Variability | 1.363915 | -1.448558 | 0.154612 | -0.492860 | -0.506303 | 1.363915 | 0.325262 | 0.111997 | -0.745786 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | ee Temporal Variability | 0.713995 | 0.194380 | -1.186336 | -0.229587 | -0.265817 | 0.282532 | 0.713995 | -0.950662 | -0.313215 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | ee Temporal Variability | 0.936498 | -0.290634 | -0.692766 | -0.309199 | 0.169335 | -0.280491 | 0.936498 | 0.004112 | 0.458881 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | nn Temporal Discontinuties | 2.177941 | -0.319487 | -1.875919 | -0.801178 | -0.369865 | -0.364162 | -0.562153 | -0.316461 | 2.177941 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | nn Power | 1.251410 | -1.158647 | -0.096655 | 0.133957 | 1.251410 | -0.266352 | 0.351718 | 0.577953 | 0.599503 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | nn Temporal Discontinuties | 0.680151 | -0.069006 | -1.692422 | -0.465056 | -0.357083 | -0.904683 | -0.503610 | -0.406561 | 0.680151 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | ee Temporal Variability | 1.090141 | -2.148696 | 0.311469 | -0.508341 | 0.360482 | 0.191111 | 1.090141 | 0.302423 | -0.286092 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | ee Power | 0.649131 | -0.878098 | -0.429017 | -0.772724 | 0.649131 | -0.530625 | -0.739264 | -0.271457 | -0.001930 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | ee Shape | 0.397713 | 0.397713 | -1.620250 | 0.044772 | 0.272894 | 0.180022 | -0.003568 | -0.915267 | -1.148985 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | nn Temporal Variability | 9.012455 | -0.916219 | -0.730668 | -0.642280 | 0.049182 | 9.012455 | 8.950117 | 4.057936 | 4.256283 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | nn Temporal Discontinuties | 21.377315 | 0.313578 | -0.541585 | -0.249392 | -0.255378 | 11.703866 | 11.362590 | 20.766665 | 21.377315 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | nn Temporal Discontinuties | 2.292016 | -0.826435 | -0.236776 | -0.127144 | -0.047485 | 0.789229 | 0.453349 | 2.292016 | 0.550656 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | ee Temporal Variability | 6.263271 | 0.392697 | -0.147220 | 0.587905 | -0.539438 | 6.263271 | 6.182956 | 4.309513 | 3.147102 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | ee Temporal Discontinuties | 5.138116 | -0.133230 | 0.381889 | -0.345375 | 0.759731 | 4.962229 | 4.587730 | 4.740556 | 5.138116 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | nn Temporal Variability | 0.906217 | -0.352725 | -1.389512 | 0.454219 | -0.349295 | 0.870617 | 0.906217 | -0.378615 | 0.816541 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | ee Temporal Discontinuties | 2.235992 | -0.600443 | -1.111174 | 0.696886 | -0.683488 | 1.120555 | 0.367090 | 2.235992 | 2.176545 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | ee Temporal Discontinuties | 0.006513 | -1.478167 | -0.250090 | -0.251458 | -0.265177 | -0.837695 | -0.487350 | -0.182026 | 0.006513 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | ee Temporal Variability | 0.599682 | -1.534154 | -0.722878 | -0.487287 | -0.020255 | -0.045855 | 0.599682 | 0.349153 | -0.147221 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | N02 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |